1727 Analytics courses delivered Online

Scheduling your social media content can help you to stay organised, keep consistent with your posting, and help you stay true to your goals for your business on Social Media! In this course, we’ll be looking at Social Media Scheduling – what it is, how it can benefit you, and most importantly – how to do it! We’ll cover: How social media scheduling can benefit your business The platforms you can use for social media scheduling and what might be the best option for you How to use Meta Business Suite to schedule posts for Facebook and Instagram How schedule posts on Linkedin Using a Third party and paid software like Hootsuite or an alternative platform   As part of the live event of this workshop, we will also have a Questions and Answers session to finish this online workshop, where participants can ask specific questions about social media scheduling for their business.   Event details: Date: Wednesday 15th January 2025 Time: 10am – 11.30am Location: Online (ZOOM) For: Businesses based in Luton The Luton Online: Digital Marketing Launchpad is a project funded by the UK Government through the UK Shared Prosperity Fund. The UK Shared Prosperity Fund is a central pillar of the UK government's Levelling Up agenda and provides £2.6 billion of funding for local investment by March 2025. The Fund aims to improve pride in place and increase life chances across the UK investing in communities and place, supporting local business, and people and skills. For more information, visit: https://www.gov.uk/government/publications/uk-shared-prosperity-fund-prospectus

Learn to effectively monitor the performance, health, and availability of Azure Services and your cloud resources

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 2 Days 12 CPD hours This course is intended for Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

ITIL® 4 Specialist: Create, Deliver and Support: On-Demand The ITIL® 4 Specialist: Create, Deliver, and Support module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Create, Deliver, and Support exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Create, Deliver, and Support exam specification: Understand how to plan and build a service value stream to create, deliver, and support services Know how relevant ITIL® practices contribute to the creation, delivery, and support across the SVS and value streams Know how to create, deliver, and support services Organization and Culture Organizational Structures Team Culture Continuous Improvement Collaborative Culture Customer-Oriented Mindset Positive Communication Effective Teams Capabilities, Roles, and Competencies Workforce Planning Employee Satisfaction Management Results-Based Measuring and Reporting Information Technology to Create, Deliver, and Support Service Integration and Data Sharing Reporting and Advanced Analytics Collaboration and Workflow Robotic Process Automation Artificial Intelligence and Machine Learning CI / CD Information Model Value Stream Anatomy of a Value Stream Designing a Value Stream Value Stream Mapping Value Stream to Create, Deliver, and Support Services Value Stream for Creation of a New Service Value Stream for User Support Value Stream Model for Restoration of a Live Service Prioritize and Manage Work Managing Queues and Backlogs Shift-Left Approach Prioritizing Work Commercial and Sourcing Considerations Build or Buy Sourcing Models Service Integration and Management

Preparing for Digital Transformation (On-Demand) The goal of this course is to enable you to become knowledgeable about the technologies behind a digital transformation in your organization and the driving forces compelling such a transformation. You will learn how to become engaged in the processes of transforming your organization digitally to meet with the growing demands of customers and clients. Organizations today must keep pace with changing technology to stay abreast of the market demand. Keeping pace means a transformation of the entire organization into the digital age. This workshop presents the challenges, benefits, and pitfalls of digital transformation and how it will affect you, and how you can be better prepared and positioned for the upcoming digital transformation. You will learn how to become engaged in the processes of transforming your organization digitally to meet with the growing demands of customers and clients. What you will Learn Describe the impact that digital is making on the economy and on customer expectations Examine the nature and drivers of the digital transformation Evaluate new technologies such as Blockchain, Big Data, Artificial Intelligence, and other technologies and see how they work to bring about digital transformation Assess the impact of digital technologies on the current roles and positions in the organization Discuss both the demand that customers have for digital technologies and the impact the digital technologies have on the customer and its relationship with the organization Recognize the new technology trends in the digital transformation and what they mean to the future of the organization Identify how digital transformation will affect all roles and how to be prepared for the upcoming and continuing digital transformation Getting Started Foundation Concepts Digital transformation versus automation Driving forces behind the digital transformation Learning from digital transformation successes Digital Transformation and Customer Orientation The Digital Customer Customer touch points and the customer journey Omnichannel concept Transform to the customer Digital Technologies and the Organization Relationship Management Big Data: The Basis for it All The Human Factor in Digital Transformations Risks of Digital Transformation Technology Trends Data and Business Analytics Other Major Trends Preview of Coming Attractions Pathway to Digital Transformation Summary and Next Steps

***24 Hour Limited Time Flash Sale*** Data Analysis, Statistics & Economics - QLS Endorsed Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the realm of Data Analysis, Statistics & Economics with our eight-course bundle, meticulously curated to offer a robust foundation in these critical fields. Our comprehensive package includes three prestigious QLS-endorsed courses in Statistics, Economics, and Basic Data Analysis, ensuring a strong foundational understanding. Plus, we supplement this knowledge with five relevant CPD QS accredited courses encompassing cutting-edge domains like Google Data Studio, Azure Machine Learning, AWS SageMaker Canvas, and more. No matter your current knowledge level, this course bundle will deepen your understanding of Data Analysis, Statistics & Economics and elevate your theoretical knowledge. Your achievement will be acknowledged with a hardcopy certificate for each QLS-endorsed course, a tangible testament to your dedication and hard work. In this digital age, skills in Data Analysis, Statistics & Economics are more than just desirable; they're indispensable. Equip yourself with the theoretical knowledge needed to navigate the complexities of these domains confidently. Whether you're looking to enhance your current skillset, seeking a career change, or just curious, this bundle is the perfect choice. Dive into the world of Data Analysis, Statistics & Economics today, and prepare to discover a wealth of knowledge. Key Features of the Data Analysis, Statistics & Economics Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our [Course_Title] bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Statistics QLS Course 02: Economics QLS Course 03: Basic Data Analysis 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Google Data Studio: Data Analytics Course 02: Azure Machine Learning Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Analysis, Statistics & Economics courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes Gain a robust theoretical understanding of Statistics, Economics & Basic Data Analysis. Develop a strong foundation in Google Data Studio for data analytics. Acquire theoretical knowledge of Azure Machine Learning and its applications. Familiarise with Machine Learning model creation using AWS SageMaker Canvas. Understand the role of Statistics & Probability in Data Science and Machine Learning. Learn the principles and applications of Data Science & Machine Learning with R. Receive QLS-endorsed hardcopy certificates for three foundational courses. Dive into the comprehensive world of Data Analysis, Statistics & Economics with our tailored eight-course bundle. Our blend of three QLS-endorsed courses and five CPD QS accredited courses ensures a well-rounded understanding of these ever-relevant fields. Enhance your theoretical knowledge base and embrace the opportunity to explore different facets of these domains, from basic principles to the utilisation of cutting-edge tools. CPD 270 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in gaining a theoretical understanding of Data Analysis, Statistics & Economics. Professionals looking to supplement their existing knowledge with a broadened skillset. Students seeking to complement their academic studies with additional courses. Career changers looking to delve into the fields of Data Analysis, Statistics & Economics. Career path Data Analyst: £26,000 - £50,000 Economic Consultant: £30,000 - £60,000 Statistical Analyst: £30,000 - £55,000 Machine Learning Engineer: £40,000 - £80,000 Business Intelligence Analyst: £35,000 - £65,000 Operations Research Analyst: £28,000 - £55,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Dive into the world of Sports Management with our comprehensive course designed to equip you with the skills necessary for effective sports organization leadership. From legal aspects and ethical considerations to financial and strategic management, this course covers all crucial areas to prepare you for success in the dynamic field of sports. Enhance your expertise and lead sports entities with confidence and competence. Learning Outcomes Grasp foundational concepts in Sports Management. Uphold ethical standards within sports organizations. Lead and manage sports teams effectively. Operate and optimize sports facilities. Manage financial operations specific to sports entities. Utilize analytics to improve team performance and strategies. Understand and enhance athlete performance. Course Curriculum Module 01: Introduction to Sports Management Overview of the Sports Industry: Explore the scope, significance, and basic principles of Sports Management. Module 02: Law in Sports Legal Aspects of Sports: Understand the legal issues and regulations that impact sports organizations and activities. Module 03: Ethics in Sports Ethical Considerations: Discuss ethical challenges and standards in sports management and competition. Module 04: Leadership and Team Management in Sports Effective Leadership Practices: Learn leadership theories and practices applicable to managing sports teams and organizations. Module 05: Sports Facility Management Operational Management: Strategies for the efficient operation, scheduling, and maintenance of sports facilities. Module 06: Financial Management in Sports Economics and Budgeting: Cover financial principles, budgeting processes, and economic impact analysis in sports. Module 07: Sports Analytics in the Sports Management Data-Driven Decision Making: Employ sports analytics to inform decisions and improve organizational strategies. Module 08: Athlete Performance Maximizing Athlete Potential: Techniques and strategies for enhancing athlete training and performance metrics. Module 09: Ethnography in Sports Management Cultural Insights: Utilize ethnographic methods to study the cultural and social aspects of sports communities. Module 10: Strategic Sports Management Long-Term Planning: Develop strategic plans that ensure growth, sustainability, and competitive advantage in sports organizations.

Are you interested in pursuing a career in the Market Research Analyst industry or learning more about it? If yes, then you have come to the right place. Our comprehensive courses on Market Research Analyst Advanced Diploma will assist you in producing the best possible outcome by learning the Market Research Analyst skills. The Market Research Analyst Advanced Diploma bundle is for those who want to be successful. In the Market Research Analyst Advanced Diploma bundle, you will learn the essential knowledge needed to become well versed in Market Research Analyst. Why would you choose the Market Research Analyst Advanced Diploma course from Compliance Central: Lifetime access to Market Research Analyst Advanced Diploma courses materials Full tutor support is available from Monday to Friday with the Market Research Analyst Advanced Diploma course Learn Market Research Analyst skills at your own pace from the comfort of your home Gain a complete understanding of Market Research Analyst Advanced Diploma course Accessible, informative Market Research Analyst Advanced Diploma learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the Market Research Analyst Advanced Diploma bundle Study Market Research Analyst Advanced Diploma in your own time through your computer, tablet or mobile device Our Market Research Analyst Advanced Diploma bundle starts with the basics of Market Research Analyst Advanced Diploma and gradually progresses towards advanced topics. Therefore, each lesson of this Market Research Analyst is intuitive and easy to understand. Courses in this Market Research Analyst Advanced Diploma Bundle: Course 01: Market Research Analyst Course 02: Learn with Case Study - Market Research Course 03: Know Your Customer (KYC) Course 04: Data Analyst Course 05: Data Analysis In Excel Course 06: Microsoft Power BI Masterclass 2021 Course 07: Business Data Analysis Course 08: Python Data Science Course 09: Data Analytics with Tableau Course 10: SQL For Data Analytics & Database Development Course 11: Excel Vlookup; Xlookup; Match and Indexl CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Market Research Analyst Advanced Diploma bundle helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Market Research Analyst. Requirements To enrol in this Market Research Analyst Advanced Diploma course, all you need is a basic understanding of the English Language and an internet connection. Career path The Market Research Analyst Advanced Diploma bundle will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Market Research Analyst. Certificates 11 CPD Accredited PDF Certificate Digital certificate - Included Each CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD accredited hard copy certificates are available for £10.79 each Delivery Charge for Each Hard Copy Certificates: Inside the UK: Free Outside of the UK: £9.99 each

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.